Scenario

The use of one or several cameras can recognize a wide range of activities for equipment less expensive.
Unfortunatelly these devices are sensitive. They must be fixed and they must to be well calibrated with their associated recognition algorithms.

The temptation is great to add low cost sensors in the user environment to have more robust detections.

Nevertheless, this approach drastically increases the combinatorics of possible configurations.

Also some equipment on moving objects allows to such configurations to vary over time.

For example, a simple pressure sensor on the cushions of a chair can detect the presence of a seated person. Nevertheless, this chair can move and thus change the inferred position for the seated person.

A carpet with a pressure sensor as presence detector, bought yesterday, will equally increment the user environment and the capacity of the activity recognition system.

The recognition system activity should automatically adapt to the appearance / disappearance of new sensors.

It should still be able to integrate the volley of new measures and merge them for a more robust activity recognition (with uncertainties evaluation)